Sci-ModoM: a quantitative database of transcriptome-wide high-throughput RNA modification sites
2025

Sci-ModoM: A Database for RNA Modification Data

Sample size: 6004392 publication Evidence: high

Author Information

Author(s): Boileau Etienne, Wilhelmi Harald, Busch Anne, Cappannini Andrea, Hildebrand Andreas, Bujnicki Janusz M, Dieterich Christoph

Primary Institution: Klaus Tschira Institute for Integrative Computational Cardiology

Conclusion

Sci-ModoM provides a comprehensive and user-friendly database for accessing and comparing RNA modification data across multiple datasets.

Supporting Evidence

  • Sci-ModoM offers a holistic view of the epitranscriptomic landscape.
  • It provides quantitative measurements per site and dataset.
  • Users can compare modifications site-wise across datasets.
  • The database is open source and freely accessible.

Takeaway

Sci-ModoM is like a big library where scientists can find and compare information about tiny changes in RNA that help control how genes work.

Methodology

The database integrates high-throughput RNA modification data from various studies, providing quantitative measurements and metadata for over six million modification sites.

Potential Biases

Results may be influenced by dataset-specific biases due to the reliance on published data.

Limitations

The database currently focuses on human and mouse RNA modifications and may not cover all species or RNA types.

Participant Demographics

Data primarily includes human and mouse RNA modifications.

Digital Object Identifier (DOI)

10.1093/nar/gkae972

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